Provide a real-time summary of your organization’s AI usage and spending for any selected period.
How to Use the Overview Dashboard
Select Time Range
Click the time range dropdown at the top right of the dashboard.
Choose from preset options like Today, Yesterday, This Week, Last 7 Days, Last 30 Days, This Month, or Last Month. For a specific period, select Custom and set your preferred start and end dates using the calendar.
Click Apply to update the dashboard with your chosen time range.
Review Key Metrics
Total Credit Usage
The total number of credits consumed within the selected timeframe.
Total Active Users
The number of users actively sending at least one message during the timeframe.
Cost Per User
The average number of credits consumed per active user.
Cost Per User = Total Credit Usage / Total Active Users
Cost Per Message
The average number of credits consumed per message.
Cost Per Message: Total Credit Usage / Total Messages
Total Messages
The total number of completed chat turns, where each user-initiated message that receives a response from an AI model is counted as one event, within the selected timeframe.
Analyze Charts of Credit Usage to Gain Deeper Insights
Credit Usage Over Time
A chart displaying the total credit usage by day, allowing you to monitor usage trends and detect abnormal increases.
Credit Usage by Provider
A chart showing the distribution of total credit usage across different providers, helping to optimize provider selection based on budget and efficiency.
Credit Usage by Model
A chart displaying the allocation of total credit usage by model, supporting decisions to balance cost and effectiveness.
Credit Usage by Channel
A chart presenting total credit usage broken down by channel (e.g., Chat, Agent, Project), helping to understand user engagement by channel and evaluate each channel’s effectiveness.
Credit Usage by Department
A chart showing credit usage by department for monitoring departmental consumption.
Credit Usage by User
A table listing total credit usage per user, helping to identify heavy users and monitor individual usage
